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Bioinformatics Engineering Jobs in Virginia (NOW HIRING)

D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. PhD must ...

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Bioinformatics Engineering information

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in Virginia?

For Bioinformatics Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in Virginia look for?

The top searched job categories for Bioinformatics Engineering jobs in Virginia are:

What cities in Virginia are hiring for Bioinformatics Engineering jobs?

Cities in Virginia with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Associate

Blacksburg, VA • On-site

Virginia Polytechnic Institute and State University
Colleges, Universities, and Professional Schools • 5 - 10K employees

$63K - $73K/yr

Full-time

Re-posted 16 days ago


Virginia Tech rating

7.6

Company rating: 7.6 out of 10

Based on 67 frontline employees who took The Breakroom Quiz


Job description

Postdoctoral Associate
Job no: 536240
Work type: Research Faculty
Senior management: College of Engineering
Department: Computer Science
Location: Blacksburg, Virginia
Categories: Engineering, Research / Scientific
Job Description
Prof. Debswapna Bhattacharya's research group in the Department of Computer Science at Virginia Tech (https://people.cs.vt.edu/dbhattacharya/) seeks to recruit multiple postdoctoral associates in Artificial Intelligence (AI) in Biomolecular Modeling.
The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular design. The successful candidates will contribute significantly to the group's mission in leveraging AI for scientific discovery.
The successful candidates will conduct groundbreaking research that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be expected to collaborate with members of the group as well as other stakeholders and to perform modest service duties around missions of the group, such as training and engagement.
Required Qualifications
• Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields.
• PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Substantial programming experience.
• Excellent communication skills.
Preferred Qualifications
• Demonstrated record of excellence in advancing artificial intelligence, characterized by a strong publication history in top-tier venues and a research background outlining significant contributions to AI that demonstrate high potential for research impact.
• Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific machine learning.
Pay Band
{lPayScaleID}
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
$63,000-$73,000
Hours per week
40
Review Date
May 25, 2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Joseph Morgan at jmorgan99@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: April 29, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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